Reference TypeConference Proceedings
Citation KeySilvaScha:2007:UnIdCo
Author1 Silva, Luciano Silva da
2 Scharcanski, Jacob
TitleUnsupervised identification of coherent motion in video
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationBelo Horizonte
Keywordsmotion segmentation, point trajectories.
AbstractThe identification and classification of motion patterns in point trajectories has been an important issue in understanding and representing dynamic scenes. This paper proposes an unsupervised approach to identify coherent motion in video. Instead of producing a spatio-temporal segmentation of the raw data, the proposed method analyzes point trajectories along the video sequence to identify sets of points that move coherently. This new way of extracting motion information from videos potentially can be used in different areas of image processing and computer vision.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size5646 KiB
Number of Files1
Target FileSilvaSchrcanski_MotionCoherence.pdf
Last Update2007: administrator
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